Grocery data scraping extracts SKU-level data from grocery platforms — BigBasket, Blinkit, DMart, Instacart and more — including prices, pack sizes, availability, discounts and store/location, delivered QA-verified as CSV, JSON or API. iWeb Data Scraping handles grocery's complexity (pack-size variants, hyperlocal availability, frequent promos) so FMCG brands and grocery retailers can track true competitive pricing across formats.
Grocery is a high-SKU, high-frequency category where pack sizes multiply every product, promos change constantly, and availability varies by store and format (quick commerce, online grocery, hypermarket). Tracking it manually is impossible; structured extraction is the only way to see true competitive pricing per pack, per store.
We capture grocery SKUs across platforms and formats — normalizing pack sizes so a 500g and 1kg are comparable — feeding price intelligence and stock-out tracking. Overlaps with quick commerce and FMCG.
One vertical, every platform that matters in it — matched into a single feed your team actually uses.
Real sample structure from this feed. Your free 48-hour sample comes in your category, in this shape — CSV, JSON or straight to your warehouse.
| product | store | pack_size | price | mrp | in_stock | captured_at |
|---|---|---|---|---|---|---|
| Aashirvaad Atta | BigBasket | 5kg | 265 | 310 | yes | 2026-07-08 |
| Aashirvaad Atta | Blinkit | 5kg | 270 | 310 | yes | 2026-07-08 |
| Tata Salt | BigBasket | 1kg | 28 | 30 | yes | 2026-07-08 |
| Fortune Oil | DMart | 1L | 145 | 165 | no | 2026-07-08 |
[
{
"product": "Aashirvaad Atta",
"store": "BigBasket",
"pack_size": "5kg",
"price": "265",
"mrp": "310",
"in_stock": "yes",
"captured_at": "2026-07-08"
},
{
"product": "Aashirvaad Atta",
"store": "Blinkit",
"pack_size": "5kg",
"price": "270",
"mrp": "310",
"in_stock": "yes",
"captured_at": "2026-07-08"
},
{
"product": "Tata Salt",
"store": "BigBasket",
"pack_size": "1kg",
"price": "28",
"mrp": "30",
"in_stock": "yes",
"captured_at": "2026-07-08"
},
{
"product": "Fortune Oil",
"store": "DMart",
"pack_size": "1L",
"price": "145",
"mrp": "165",
"in_stock": "no",
"captured_at": "2026-07-08"
}
]
Every pack size priced and normalized to unit price across grocery platforms.
Competitor SKU pricing and private-label positioning across formats.
Which promos rivals run, what they stock, where the gaps are.
Prices and MRP, pack sizes with computed unit price, availability by store, discounts and combos, brand and category, store/format, private-label products, images, ratings, new products, substitutes and delivery options — across BigBasket, Blinkit, DMart, Instacart and other grocery platforms.
We capture every pack size and compute unit price (per kg, per litre, per 100g) so products are genuinely comparable — a 500g at one price and a 1kg at another become an apples-to-apples unit-price comparison. This normalization is essential in grocery, where pack size is a core pricing lever.
BigBasket, Blinkit, Zepto, Instamart, DMart, JioMart in India, and Instacart, Kroger, Walmart Grocery and others internationally, plus regional grocery chains. The mix is scoped to your market and competitive set.
Yes — platform private-label and store-brand products are captured and identifiable, which matters for brands benchmarking against retailer own-brands and for retailers tracking competitor private-label pricing and assortment.